Abstract
Artificial intelligence (AI) has entered mental health care at a time of global crisis marked by high demand and limited professional resources. This review considers whether AI can replace psychotherapists, examining applications in emotion recognition, therapeutic chatbots, and predictive analytics.
Advancements in machine learning and natural language processing enable systems such as ChatGPT to simulate emotionally relevant interactions and deliver structured interventions like cognitive-behavioral therapy. Early studies indicate that AI can support symptom reduction and engagement in patients with depression and anxiety, with potential to scale interventions widely.
Nonetheless, AI's role remains limited by its lack of genuine emotional understanding, small-scale evidence bases, and ethical concerns related to privacy, bias, and clinical responsibility.
The review concludes that AI cannot replace psychotherapists but can significantly extend the reach of mental health care. The future of psychotherapy lies in a hybrid model, where AI augments human expertise, reduces barriers to access, and ensures that care remains both effective and humane.
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